Keywords:
Publications of Hugo Larochelle
2012
| , , and , Learning Algorithms for the Classification Restricted Boltzmann Machine (2012), in: JMLR, 13(643-669) |
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2011
| , , , and , Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine (2011), in: Computational Intelligence |
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2010
| , , , and , Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion (2010), in: Journal of Machine Learning Research, 11(3371--3408) |
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| , and , Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest (2010), in: Neural Computation, 22:9(2285--2307) |
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2009
| , and , Deep Learning using Robust Interdependent Codes, in: Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009), Clearwater (Florida), USA, pages 312--319, 2009 |
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| , Étude de techniques d'apprentissage non-supervisé pour l'amélioration de l'entraînement supervisé de modèles connexionnistes, University of Montréal, 2009 |
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| , , and , Exploring Strategies for Training Deep Neural Networks (2009), in: Journal of Machine Learning Research, 10(1--40) |
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2008
| and , Classification using Discriminative Restricted Boltzmann Machines, in: Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML'08), Helsinki, Finland, pages 536--543, ACM, 2008 |
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| , and , Deep Woods, Poster presented at the Learning@Snowbird Workshop, Snowbird, USA, 2008, 2008 |
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| , , and , Extracting and Composing Robust Features with Denoising Autoencoders, Département d'Informatique et Recherche Opérationnelle, Université de Montréal, number 1316, 2008 |
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| , , and , Extracting and Composing Robust Features with Denoising Autoencoders, in: Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML'08), pages 1096--1103, ACM, 2008 |
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| , and , Zero-data Learning of New Tasks, in: AAAI Conference on Artificial Intelligence, 2008 |
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2007
| , , , and , An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation, in: Proceedings of the 24th International Conference on Machine Learning (ICML'07), Corvallis, OR, pages 473--480, ACM, 2007 |
[DOI] [URL] |
| , and , Generalization to a zero-data task: an empirical study, Talk and poster presented at the Learning Workshop(Snowbird), San Juan, Puerto Rico, 2007, 2007 |
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| , , and , Greedy Layer-Wise Training of Deep Networks, in: Advances in Neural Information Processing Systems 19 (NIPS'06), pages 153--160, MIT Press, 2007 |
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2006
| and , Distributed Representation Prediction for Generalization to New Words, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1284, 2006 |
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| , , and , Greedy Layer-Wise Training of Deep Networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1282, 2006 |
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| , and , Non-Local Manifold Parzen Windows, in: Advances in Neural Information Processing Systems 18 (NIPS'05), MIT Press, 2006 |
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| , and , Nonlocal Estimation of Manifold Structure (2006), in: Neural Computation, 18(2509--2528) |
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2005
| and , Non-Local Manifold Parzen Windows, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1264, 2005 |
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2004
| and , Implantation et analyse d'un modèle graphique à entraînement supervisé, semi-supervisé et non-supervisé pour la désambiguïsation sémantique, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1252, 2004 |
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